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Related Experiment Video

Updated: Jun 4, 2026

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
05:39

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Published on: March 18, 2019

Output-Sensitive Construction of Reeb Graphs.

H Doraiswamy, V Natarajan

    IEEE Transactions on Visualization and Computer Graphics
    |February 9, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This study presents an efficient algorithm for computing Reeb graphs, which map scalar function topology. The new method simplifies Reeb graph computation by using level set equivalences, enabling better data analysis.

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    Area of Science:

    • Computational topology
    • Data visualization
    • Scientific computing

    Background:

    • Reeb graphs capture the topology of scalar function level sets.
    • Existing methods for Reeb graph computation can be complex and computationally intensive.

    Purpose of the Study:

    • To develop a near-optimal, output-sensitive algorithm for computing Reeb graphs.
    • To introduce an efficient and simplified approach to Reeb graph construction for scalar functions.
    • To enhance the visual analysis of scalar fields through effective Reeb graph representation and applications.

    Main Methods:

    • An alternate Reeb graph definition using equivalence classes of level sets.
    • A two-step algorithm: critical point localization followed by arc computation.
    • A search procedure on a small domain subset for arc generation.

    Main Results:

    • A near-optimal, output-sensitive algorithm for Reeb graph computation.
    • Demonstrated simplicity and efficiency through an alternate definition.
    • Developed controlled simplification and graph layout schemes for effective presentation.

    Conclusions:

    • The proposed algorithm offers an efficient and robust method for Reeb graph computation.
    • The alternate definition simplifies the computation process.
    • Reeb graphs have broad applicability in surface segmentation, transfer function design, and data exploration.